# G2 Reviews API (`soilair/g2-reviews-api`) Actor

Extract structured recent G2 reviews: ratings, pros, cons, problems solved, dates, and reviewer metadata from public product RSS feeds.

- **URL**: https://apify.com/soilair/g2-reviews-api.md
- **Developed by:** [Salih Can Kurnaz](https://apify.com/soilair) (community)
- **Categories:** Business, Marketing, Developer tools
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $0.70 / 1,000 g2 review results

This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events.
Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have.

Learn more: https://docs.apify.com/actors/running/actors-in-store.md#pay-per-event

## What's an Apify Actor?

Actors are web data automations that power AI and operations. They run on the Apify platform to scrape websites, process data, connect APIs, and automate workflows.
In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours,
and optionally produces a well-defined JSON output, datasets with results, or files in key-value store.
In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server.
Actors are written with capital "A".

## How to integrate an Actor?

If asked about integration, you help developers integrate Actors into their projects.
You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready.
The best way to integrate Actors is as follows.

- **AI agents and MCP clients** — the [Apify MCP server](https://docs.apify.com/integrations/mcp.md) at `https://mcp.apify.com` (remote, streamable HTTP, OAuth on first use).
- **Agentic workflows and local Actor development** — [Agent Skills](https://apify.com/.well-known/agent-skills/index.json) with the [Apify CLI](https://docs.apify.com/cli/docs.md): `npm install -g apify-cli`, then `apify login`.
- **JavaScript/TypeScript projects** — the official [JS/TS client](https://docs.apify.com/api/client/js/docs.md): `npm install apify-client`.
- **Python projects** — the official [Python client](https://docs.apify.com/api/client/python/docs.md): `pip install apify-client`.
- **Any other language** — the [REST API](https://docs.apify.com/api/v2.md).

For usage examples, see the [API](#api) section below.

For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt).

# README

## G2 Reviews API

> **Unofficial independent tool. Not affiliated with, endorsed by, or sponsored by G2.**

Extract structured **recent G2 product reviews** from public G2 RSS feeds and export them as clean Dataset rows for competitive research, product analysis, monitoring, spreadsheets, databases, and AI workflows.

### What this Actor returns

For each review, the Actor can return:

- stable review ID and review URL
- product slug and product name
- review title
- star rating
- full review text
- structured **pros**
- structured **cons**
- structured **problems solved**
- publication timestamp
- reviewer role
- reviewer company size when exposed
- reviewer industry when exposed
- reviewer display name only when you explicitly enable it

The reviewer display name is **disabled by default**.

### Input

Provide one or more G2 product slugs or G2 product URLs.

Example:

```json
{
  "products": ["slack", "hubspot-marketing-hub"],
  "maxReviewsPerProduct": 10,
  "maxTotalReviews": 20,
  "ratings": [],
  "knownReviewIds": [],
  "includeReviewerName": false
}
```

Accepted product formats include:

- `slack`
- `https://www.g2.com/products/slack`
- `https://www.g2.com/products/slack/reviews`
- `https://www.g2.com/products/slack/reviews.rss`

### Important scope limitation

This Actor uses the **public G2 product RSS surface**. It is designed for recent-review extraction and incremental monitoring.

It **does not claim complete historical G2 coverage**.

The public RSS surface observed during validation exposed up to **25 items per product**. G2 controls this surface and can change its structure, availability, ordering, or retention at any time.

The Actor parses the feed, normalizes review records, and sorts parsed items locally by `publishedAt` descending before applying local filters.

### Filters

#### Ratings

Use `ratings` to keep exact ratings such as:

```json
["4.5", "5"]
```

#### Published after

Use `publishedAfter` with an ISO-8601 timestamp to keep only reviews at or after that time.

#### Incremental monitoring

Use `knownReviewIds` to suppress review IDs you have already processed. This is useful for recurring monitoring workflows.

### Output fields

| Field | Description |
|---|---|
| `reviewId` | Stable review identifier |
| `productSlug` | G2 product slug |
| `productName` | Product name from the RSS channel |
| `reviewUrl` | Direct review URL |
| `title` | Review headline |
| `rating` | Star rating |
| `reviewText` | Full normalized review text |
| `pros` | What the reviewer liked |
| `cons` | What the reviewer disliked |
| `problemsSolved` | Problems/benefits described by the reviewer |
| `publishedAt` | Review publication timestamp |
| `reviewerRole` | Reviewer role when exposed |
| `reviewerCompanySize` | Company-size band when exposed |
| `reviewerIndustry` | Industry when exposed |
| `reviewerName` | Reviewer display name only when explicitly enabled |
| `source` | `G2_PUBLIC_RSS` |
| `sourceFeedUrl` | Public RSS feed used for the product |

### Pricing

This Actor uses **Pay per event** pricing.

Primary event:

- `review-result` — one structured review successfully written to the default Dataset

The Actor is designed so that a `review-result` event is charged only when that review row is successfully emitted.

Current tier pricing starts at **$1.00 per 1,000 review results** on the FREE tier, with lower per-result pricing on higher Apify tiers.

The small `apify-actor-start` event is handled automatically by the Apify platform.

### Performance profile

The validated production candidate used:

- 256 MB memory
- no browser
- no login
- no cookies
- no residential proxy

In the private stability benchmark, 12 products × 25 reviews produced **300 rows per run** across three independent runs, with **1.000 cross-run stable-ID Jaccard** for every tested product.

### Responsible use

Use the Actor only for lawful purposes and in accordance with applicable laws, contracts, platform terms, and privacy requirements.

This Actor exposes structured data from a public RSS surface. Availability of public data does not remove your responsibility to determine whether your intended use is lawful and appropriate.

Avoid collecting or using personal data when it is not necessary for your purpose. Reviewer display names are therefore disabled by default.

### Reliability notes

G2 may change or discontinue the public RSS surface without notice. If the source format changes, extraction behavior may need to be updated.

This Actor does not bypass authentication and does not use a browser or residential proxy.

### API and automation

You can run the Actor from:

- Apify Console
- Apify API
- Apify MCP / agent workflows when eligible
- schedules and integrations supported by Apify

The Dataset can be exported as JSON, CSV, Excel, XML, or other formats supported by Apify.

# Actor input Schema

## `products` (type: `array`):

G2 product slugs or G2 product/review/RSS URLs. Examples: slack, hubspot-marketing-hub. Maximum 20.

## `maxReviewsPerProduct` (type: `integer`):

Maximum review rows emitted per product after local filters and publishedAt sorting. Public RSS currently exposes up to 25 items per product.

## `maxTotalReviews` (type: `integer`):

Hard cap for the total number of Dataset rows emitted by the run.

## `ratings` (type: `array`):

Optional exact star ratings to retain, for example 4, 4.5, or 5. Leave empty to keep all ratings exposed by the feed.

## `publishedAfter` (type: `string`):

Optional ISO-8601 timestamp. Reviews older than this timestamp are removed locally after RSS parsing.

## `knownReviewIds` (type: `array`):

Optional review IDs to suppress. Useful for incremental polling workflows that only need unseen reviews.

## `includeReviewerName` (type: `boolean`):

Include the reviewer display name when exposed in the public RSS text. Disabled by default for privacy-minimizing output.

## Actor input object example

```json
{
  "products": [
    "slack",
    "hubspot-marketing-hub"
  ],
  "maxReviewsPerProduct": 10,
  "maxTotalReviews": 100,
  "ratings": [
    "4.5",
    "5"
  ],
  "publishedAfter": "2026-01-01T00:00:00Z",
  "knownReviewIds": [],
  "includeReviewerName": false
}
```

# Actor output Schema

## `reviews` (type: `string`):

Structured G2 review rows written to the default Dataset.

## `summary` (type: `string`):

Run-level source, coverage, billing, and extraction metrics.

## `report` (type: `string`):

Human-readable run report.

# API

You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup.

## JavaScript example

```javascript
import { ApifyClient } from 'apify-client';

// Initialize the ApifyClient with your Apify API token
// Replace the '<YOUR_API_TOKEN>' with your token
const client = new ApifyClient({
    token: '<YOUR_API_TOKEN>',
});

// Prepare Actor input
const input = {
    "products": [
        "slack"
    ],
    "maxReviewsPerProduct": 10,
    "maxTotalReviews": 100,
    "includeReviewerName": false
};

// Run the Actor and wait for it to finish
const run = await client.actor("soilair/g2-reviews-api").call(input);

// Fetch and print Actor results from the run's dataset (if any)
console.log('Results from dataset');
console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`);
const { items } = await client.dataset(run.defaultDatasetId).listItems();
items.forEach((item) => {
    console.dir(item);
});

// 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs

```

## Python example

```python
from apify_client import ApifyClient

# Initialize the ApifyClient with your Apify API token
# Replace '<YOUR_API_TOKEN>' with your token.
client = ApifyClient("<YOUR_API_TOKEN>")

# Prepare the Actor input
run_input = {
    "products": ["slack"],
    "maxReviewsPerProduct": 10,
    "maxTotalReviews": 100,
    "includeReviewerName": False,
}

# Run the Actor and wait for it to finish
run = client.actor("soilair/g2-reviews-api").call(run_input=run_input)

# Fetch and print Actor results from the run's dataset (if there are any)
print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")
for item in client.dataset(run.default_dataset_id).iterate_items():
    print(item)

# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

```

## CLI example

```bash
echo '{
  "products": [
    "slack"
  ],
  "maxReviewsPerProduct": 10,
  "maxTotalReviews": 100,
  "includeReviewerName": false
}' |
apify call soilair/g2-reviews-api --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,soilair/g2-reviews-api"
        }
    }
}

```

The hosted server signs you in with OAuth on first connect, so no API token belongs in this config. Clients without OAuth support can send an `Authorization: Bearer <APIFY_API_TOKEN>` header instead, using a token from API & Integrations in Apify Console (https://console.apify.com/settings/integrations).

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/jR33HwiuciEbyGhh5/builds/q8yDDQs1qrImI7uej/openapi.json